Model save

README.md

@@ -1,11 +1,9 @@
 ---
 base_model: Qwen/Qwen2.5-1.5B-Instruct
-datasets: open-r1/OpenR1-Math-220k
 library_name: transformers
 model_name: Qwen2.5-1.5B-Open-R1-Distill
 tags:
 - generated_from_trainer
-- open-r1
 - trl
 - sft
 licence: license
@@ -13,7 +11,7 @@ licence: license
 
 # Model Card for Qwen2.5-1.5B-Open-R1-Distill
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the [open-r1/OpenR1-Math-220k](https://huggingface.co/datasets/open-r1/OpenR1-Math-220k) dataset.
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -29,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/anuj-rathore-fujitsu/huggingface/runs/9s25o70k) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/anuj-rathore-fujitsu/huggingface/runs/bpw0ybqk) 
 
 
 This model was trained with SFT.

all_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 8.833714643953254e+18,
-    "train_loss": 0.5088315672902062,
-    "train_runtime": 40766.004,
+    "train_loss": 0.0,
+    "train_runtime": 2.2868,
     "train_samples": 93733,
-    "train_samples_per_second": 3.287,
-    "train_steps_per_second": 0.822
+    "train_samples_per_second": 58602.159,
+    "train_steps_per_second": 14651.196
 }

config.json

@@ -22,7 +22,7 @@
   "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.52.3",
-  "use_cache": true,
+  "use_cache": false,
   "use_sliding_window": false,
   "vocab_size": 151936
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 8.833714643953254e+18,
-    "train_loss": 0.5088315672902062,
-    "train_runtime": 40766.004,
+    "train_loss": 0.0,
+    "train_runtime": 2.2868,
     "train_samples": 93733,
-    "train_samples_per_second": 3.287,
-    "train_steps_per_second": 0.822
+    "train_samples_per_second": 58602.159,
+    "train_steps_per_second": 14651.196
 }

trainer_state.json

@@ -60311,14 +60311,12 @@
     },
     {
       "epoch": 2.0,
-      "mean_token_accuracy": 0.8535354286432266,
-      "num_tokens": 1122412440.0,
       "step": 33504,
       "total_flos": 8.833714643953254e+18,
-      "train_loss": 0.5088315672902062,
-      "train_runtime": 40766.004,
-      "train_samples_per_second": 3.287,
-      "train_steps_per_second": 0.822
+      "train_loss": 0.0,
+      "train_runtime": 2.2868,
+      "train_samples_per_second": 58602.159,
+      "train_steps_per_second": 14651.196
     }
   ],
   "logging_steps": 5,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:0924c4924a747db1c16e961d4b9d3efbce51b68b0b3c7fb3f1eebf06b7cb51f0
 size 7544